Biblio
Filters: Author is Hazan, A. [Clear All Filters]
Musical Expectation Modelling from Audio: a causal mid-level approach to predictive representation and learning of spectro-temporal events..
Departament de Tecnologies de la Informació i les Comunicacions. 119. Abstract
(2010).
The Development of Melodic Representations at Early Age: Towards a Computational Model..
Music, Language and the Mind 2008. Abstract
(2008).
Computational Models of Music Perception and Cognition I: The Perceptual and Cognitive Processing Chain.
Physics of Life Reviews. 5(3), 151-168. Abstract
(2008).
Computational Models of Music Perception and Cognition II: Domain-Specific Music Processing.
Physics of Life Reviews. 5(3), 169-182. Abstract
(2008).
Discovering Expressive Transformation Rules from Saxophone Jazz Performances.
Journal of New Music Research. 34, 319-330. Abstract
(2005).
A Genetic Rule-based Expressive Performance Model for Jazz Saxophone.
Computer Music Journal. 32, 38-50. Abstract
(2008).
Model cortical responses for the detection of perceptual onsets and beat tracking in singing.
Connection Science. 21(2-3), 193-205. Abstract
(2009).
A Tool for Generating and Explaining Expressive Music Performances of Monophonic Jazz Melodies.
International Journal on Artificial Intelligence Tools. 15, 673-691. Abstract
(2006).
What/when causal expectation modelling applied to percussive audio.
The Journal of the Acoustical Society of America, vol. 123, issue 5, p. 3800. Abstract
(2009).
What/when causal expectation modelling applied to audio signals.
Connection Science. 21(2-3), 119 – 143. Abstract
(2009).
An Approach to Expressive Music Performance Modeling.
118th Audio Engineering Society Convention. Abstract
(2005).
Attention as musical interplay of bottom-up accents and expectation.
GOSPEL Workshop. Abstract
(2007).
Billaboop real-time voice-driven drum generator.
118th Audio Engineering Society Convention. Abstract
(2005).
Computational Modeling of Statistical Learning of Tone Sequences (Poster).
International Conference on Cognitive and Neural Systems (ICCNS 2007). Abstract
(2007).
(2008).
Dynamical Hierarchical Self-Organization of Harmonic, Motivic, and Pitch Categories .
Music, Brain and Cognition. Part 2: Models of Sound and Cognition, held at NIPS). Abstract
(2007).
(2006).
Expectation Along The Beat A Use Case For Music Expectation Models.
International Computer Music Conference. Abstract
(2007).
Intra-note Features Prediction Model for Jazz Saxophone Performance.
International Computer Music Conference. Abstract
(2005).
A machine learning approach to expressive performance in jazz standards.
ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. Abstract
(2004).
Modeling expressive music performance in jazz.
International Florida Artificial Intelligence Research Society Conference. Abstract
(2005).
Modeling the Acquisition of Statistical Regularities in Tone Sequences.
30th Annual Meeting of the Cognitive Science Society. Abstract
(2008).
Modelling Expressive Performance A Regression Tree Approach Based on Strongly Typed Genetic Programming.
European Workshop on Evolutionary Music and Art. Abstract
(2006).